US Patent Issued to Microsoft Technology Licensing on Dec. 2 for "Performance-adaptive sampling strategy towards fast and accurate graph neural networks" (California, Pennsylvania Inventors)

ALEXANDRIA, Va., Dec. 2 -- United States Patent no. 12,488,068, issued on Dec. 2, was assigned to Microsoft Technology Licensing LLC (Redmond, Wash.).

"Performance-adaptive sampling strategy towards fast and accurate graph neural networks" was invented by Baoxu Shi (San Jose, Calif.), Qi He (San Jose, Calif.), Jaewon Yang (Campbell, Calif.), Sufeng Niu (Fremont, Calif.) and Minji Yoon (Pittsburgh).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques for implementing a performance-adaptive sampling strategy towards fast and accurate graph neural networks are provided. In one technique, a graph that comprises multiple nodes and edges connecting the nodes is stored. An embedding for each node is initialized...